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Data Science Jobs in Chennai

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Hectar India Trading Pvt Ltd
Chennai
10 - 20 yrs
₹50L - ₹70L / yr
Machine Learning (ML)
Data Analytics
Data flow analytics
Software engineering
Data Science

About the company: https://www.hectar.in/


Hectar Global is a financial technology company that provides a disruptive cross-border trading platform for the agricultural commodities market. Our platform utilizes machine learning and data analysis to provide insights and improve the trading experience for farmers, traders, and other stakeholders in the agricultural industry. Our mission is to bring transparency and efficiency to the agricultural commodities market, which has traditionally been fragmented and opaque. We are committed to driving innovation in the industry and providing a user-friendly and accessible platform for our customers.


Job Overview: 


We are seeking a highly skilled Head of Engineering to lead the development of our innovative and disruptive cross-border trading platform at Hectar Global. This person will be responsible for spearheading all technical aspects of the project, from architecture and infrastructure to data and machine learning.


Responsibilities:


  • Lead and manage a team of engineers, including hiring, training, and mentoring
  • Design and implement the technical architecture of the cross-border trading platform
  • Ensure the platform is scalable, efficient, and secure
  • Oversee the development of data models and machine learning algorithms
  • Collaborate with cross-functional teams, including product and design, to ensure the platform meets user needs and is visually appealing and easy to use
  • Work with stakeholders to identify business requirements and translate them into technical solutions
  • Develop and maintain technical documentation, including system specifications, design documents, and user manuals
  • Keep up to date with emerging trends and technologies in software engineering, machine learning, and data science

Requirements:


  • Bachelor's or Master's degree in Computer Science or related field
  • 10+ years of experience in software engineering, with a focus on web applications and machine learning
  • Proven track record of leading and managing a team of engineers
  • Expertise in software architecture and design patterns
  • Experience with data modeling and machine learning techniques
  • Strong problem-solving and analytical skills
  • Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams
  • Experience working in an agile development environment
  • Strong knowledge of front-end technologies, such as HTML, CSS, and JavaScript
  • Familiarity with modern web frameworks, such as React or Angular


Preferred qualifications:


  • Experience with cloud computing platforms, such as AWS or Azure
  • Familiarity with data visualization tools, such as D3.js or Tableau
  • Experience with containerization and orchestration tools, such as Docker and Kubernetes
  • Understanding of financial markets and trading platforms


If you are a passionate leader with a proven track record of building innovative and disruptive products and teams, we would love to hear from you.

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MNC

at MNC

Agency job
via Eurka IT SOL by Srikanth a
Chennai
5 - 11 yrs
₹10L - ₹15L / yr
PySpark
SQL
Test Automation (QA)
Big Data
Data Science

Lead QA: more than 5 years experience , led the team of more than 5 people in big data platform, should have experience in Test Automation framework, should have experience of Test process documentation

Read more
Remote, Chennai
3 - 6 yrs
Best in industry
Machine Learning (ML)
Data Science
Deep Learning
Artificial Intelligence (AI)
Python
+1 more

Skills: Machine Learning,Deep Learning,Artificial Intelligence,python.

Location:Chennai


Domain knowledge:
Data cleaning, modelling, analytics, statistics, machine learning, AI

Requirements:

·         To be part of Digital Manufacturing and Industrie 4.0 projects across Saint Gobain group of companies

·         Design and develop AI//ML models to be deployed across SG factories

·         Knowledge on Hadoop, Apache Spark, MapReduce, Scala, Python programming, SQL and NoSQL databases is required

·         Should be strong in statistics, data analysis, data modelling, machine learning techniques and Neural Networks

·         Prior experience in developing AI and ML models is required

·         Experience with data from the Manufacturing Industry would be a plus

Roles and Responsibilities:

·         Develop AI and ML models for the Manufacturing Industry with a focus on Energy, Asset Performance Optimization and Logistics

·         Multitasking, good communication necessary

·         Entrepreneurial attitude.

 
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Ganit Business Solutions

at Ganit Business Solutions

3 recruiters
Viswanath Subramanian
Posted by Viswanath Subramanian
Chennai, Bengaluru (Bangalore), Mumbai
4.5 - 6 yrs
₹15L - ₹18L / yr
Data Science
Machine Learning (ML)
What you will be doing-
Understand business problems and translate business requirements into technical requirements.
Conduct complex data analysis to ensure data quality & reliability i.e., make the data talk by extracting, preparing, and transforming it.
Identify, develop and implement statistical techniques and algorithms to address business challenges and add value to the organization.
Gather requirements and communicate findings in the form of a meaningful story with the stakeholders.
Build & implement data models using predictive modelling techniques. Interact with clients and provide support for queries and delivery
adoption.
Lead and mentor data analysts.

What we are looking for-
Apart from your love for data and ability to code even while sleeping you would need the following.
Minimum of 02 years of experience in designing and delivery of data science solutions.
You should have successful projects of retail/BFSI/FMCG/Manufacturing/QSR in your kitty to show-off.
Deep understanding of various statistical techniques, mathematical models, and algorithms to start the conversation with the data in hand.
Ability to choose the right model for the data and translate that into a code using R, Python, VBA, SQL, etc.
Bachelors/Masters degree in Engineering/Technology or MBA from
Tier-1 B School or MSc. in Statistics or Mathematics.
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Pune, Bengaluru (Bangalore), Chennai, Mumbai, Gurugram, Nashik
5 - 10 yrs
₹20L - ₹22L / yr
Data Science
Kofax
Data Scientist
Machine Learning (ML)
Natural Language Processing (NLP)
+5 more

B1 – Data Scientist  -  Kofax Accredited Developers

 

Requirement – 3

 

Mandatory –

  • Accreditation of Kofax KTA / KTM
  • Experience in Kofax Total Agility Development – 2-3 years minimum
  • Ability to develop and translate functional requirements to design
  • Experience in requirement gathering, analysis, development, testing, documentation, version control, SDLC, Implementation and process orchestration
  • Experience in Kofax Customization, writing Custom Workflow Agents, Custom Modules, Release Scripts
  • Application development using Kofax and KTM modules
  • Good/Advance understanding of Machine Learning /NLP/ Statistics
  • Exposure to or understanding of RPA/OCR/Cognitive Capture tools like Appian/UI Path/Automation Anywhere etc
  • Excellent communication skills and collaborative attitude
  • Work with multiple teams and stakeholders within like Analytics, RPA, Technology and Project management teams
  • Good understanding of compliance, data governance and risk control processes

Total Experience – 7-10 Years in BPO/KPO/ ITES/BFSI/Retail/Travel/Utilities/Service Industry

Good to have

  • Previous experience of working on Agile & Hybrid delivery environment
  • Knowledge of VB.Net, C#( C-Sharp ), SQL Server , Web services

 

Qualification -

  • Masters in Statistics/Mathematics/Economics/Econometrics Or BE/B-Tech, MCA or MBA 

 

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netmedscom

at netmedscom

3 recruiters
Vijay Hemnath
Posted by Vijay Hemnath
Chennai
6 - 12 yrs
₹15L - ₹35L / yr
Engineering Management
Engineering head
Technical Architecture
Technical lead
Tech lead
+11 more

We are looking for a coding Engineering Manager based in Chennai. This is a new role within the growing Engineering function, where you will be responsible for leading a team of talented professionals, assisting them to deliver complex technical solutions across a range of teams. The successful candidate will be comfortable directing, planning and coordinating the team, as well as developing overall concepts for new and existing products and processes. Reporting into the Head of Engineering for our Chennai team, this role is integral to the successful growth of the team as well as wider company performance. 

 

 

What You’ll Be Doing:

 

Play the role of a servant leader in helping the team to excel in the areas of ownership and help to continuously raise the bar on performance.

Perform your responsibilities through delegation, empowerment and influence aimed at delivering long term outcomes for the team and business.

Build, manage and grow one or more engineering team(s), foster Agile practices and continuous improvement, enable engineers to build, test, deliver and operate high-level software products across the company

A hands-on technical approach to management, leveraging your software engineering experience to assist product needs and build

Work with our Product, DevOps, and Data Science functions on articulating roadmaps & ensure a high quality and timely implementation to support our mission and help eliminate identity fraud

Join a mission-orientated company, solving real-world fraud and identity based challenges

Facilitate career growth and success for all team members.

 

What You’ll Bring:

 

6+ years of demonstrated deep technical design and programming skills (in individual capacity) designing and delivering enterprise grade distributed systems in the following tooling; Web applications (Java/PHP/.NET/Python) or Mobile applications (SDK, Android/iOS)

2+ years prior experience managing one or more Agile engineering team(s); contributing to a track record of building complex and technical products, ideally within a start-up or fast scaling environment

Track record of having managed performance cycles of engineers of varying experience levels directly reporting to you.

Experience with building software with Agility and in conformity to security standards.

Willingness to “roll-up your sleeves and get your hands dirty” when required

Experience delivering and operating complex software solutions - understanding the end-to-end needs of what is involved within this process.

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E commerce & Retail
Chennai
5 - 10 yrs
₹8L - ₹18L / yr
Machine Learning (ML)
Data Science
Python
Tableau
SQL
+3 more
Job Title : DataScience Engineer
Work Location : Chennai
Experience Level : 5+yrs
Package : Upto 18 LPA
Notice Period : Immediate Joiners
It's a full-time opportunity with our client.

Mandatory Skills:Machine Learning,Python,Tableau & SQL

Job Requirements:

--2+ years of industry experience in predictive modeling, data science, and Analysis.

--Experience with ML models including but not limited to Regression, Random Forests, XGBoost.

--Experience in an ML engineer or data scientist role building and deploying ML models or hands on experience developing deep learning models.

--Experience writing code in Python and SQL with documentation for reproducibility.

--Strong Proficiency in Tableau.

--Experience handling big datasets, diving into data to discover hidden patterns, using data visualization tools, writing SQL.

--Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations.

--AWS Sagemaker experience is a plus not required.
Read more
Kaleidofin

at Kaleidofin

3 recruiters
Poornima B
Posted by Poornima B
Chennai, Bengaluru (Bangalore)
2 - 4 yrs
Best in industry
Machine Learning (ML)
Python
SQL
Customer Acquisition
Big Data
+2 more
Responsibility
  • Partnering with internal business owners (product, marketing, edit, etc.) to understand needs and develop custom analysis to optimize for user engagement and retention
  • Good understanding of the underlying business and workings of cross functional teams for successful execution
  • Design and develop analyses based on business requirement needs and challenges.
  • Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering, factor analysis, multivariate regression, predictive modeling, etc.
  • Providing statistical analysis on custom research projects and consult on A/B testing and other statistical analysis as needed. Other reports and custom analysis as required.
  • Identify and use appropriate investigative and analytical technologies to interpret and verify results.
  • Apply and learn a wide variety of tools and languages to achieve results
  • Use best practices to develop statistical and/ or machine learning techniques to build models that address business needs.

Requirements
  • 2 - 4 years  of relevant experience in Data science.
  • Preferred education: Bachelor's degree in a technical field or equivalent experience.
  • Experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms.
  • Machine Learning Algorithms: Crystal clear understanding, coding, implementation, error analysis, model tuning knowledge on Linear Regression, Logistic Regression, SVM, shallow Neural Networks, clustering, Decision Trees, Random forest, XGBoost, Recommender Systems, ARIMA and Anomaly Detection. Feature selection, hyper parameters tuning, model selection and error analysis, boosting and ensemble methods.
  • Strong with programming languages like Python and data processing using SQL or equivalent and ability to experiment with newer open source tools.
  • Experience in normalizing data to ensure it is homogeneous and consistently formatted to enable sorting, query and analysis.
  • Experience designing, developing, implementing and maintaining a database and programs to manage data analysis efforts.
  • Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE).
  • Experience in risk and credit score domains preferred.
Read more
Kaleidofin

at Kaleidofin

3 recruiters
Poornima B
Posted by Poornima B
Chennai, Bengaluru (Bangalore)
3 - 8 yrs
Best in industry
Data Science
Machine Learning (ML)
Python
SQL
Natural Language Processing (NLP)
4+ year experience in advanced analytics, model building, statistical modeling,
• Solid technical / data-mining skills and ability to work with large volumes of data; extract
and manipulate large datasets using common tools such as Python and SQL other
programming/scripting languages to translate data into business decisions/results
• Be data-driven and outcome-focused
• Must have good business judgment with demonstrated ability to think creatively and
strategically
• Must be an intuitive, organized analytical thinker, with the ability to perform detailed
analysis
• Takes personal ownership; Self-starter; Ability to drive projects with minimal guidance
and focus on high impact work
• Learns continuously; Seeks out knowledge, ideas and feedback.
• Looks for opportunities to build owns skills, knowledge and expertise.
• Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG,
HIVE)
• Experience in risk and credit score domains preferred
• Comfortable with ambiguity and frequent context-switching in a fast-paced
environment
Read more
Chennai
3 - 5 yrs
₹12L - ₹20L / yr
Data Science
Data Scientist
R Programming
Python
Machine Learning (ML)
+9 more
  • 3+ years experience in practical implementation and deployment of ML based systems preferred.
  • BE/B Tech or M Tech (preferred) in CS/Engineering with strong mathematical/statistical background
  • Strong mathematical and analytical skills, especially statistical and ML techniques, with familiarity with different supervised and unsupervised learning algorithms
  • Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimisation
  • Experience in working on modeling graph structures related to spatiotemporal systems
  • Programming skills in Python
  • Experience in developing and deploying on cloud (AWS or Google or Azure)
  • Good verbal and written communication skills
  • Familiarity with well-known ML frameworks such as Pandas, Keras, TensorFlow
Read more
MNC

at MNC

Agency job
via Fragma Data Systems by Priyanka U
Chennai
1 - 5 yrs
₹6L - ₹12L / yr
Data Science
Natural Language Processing (NLP)
Data Scientist
R Programming
Python
Skills
  • Python coding skills
  • Scikit-learn, pandas, tensorflow/keras experience
  • Machine learning: designing ml models and explaining them for regression, classification, dimensionality reduction, anomaly detection etc
  • Implementing Machine learning models and pushing it to production 
  • Creating docker images for ML models, REST API creation in Python
1) Data scientist with NLP experience
  • Additional Skills Compulsory:
    • Knowledge and professional experience of text and NLP related projects such as - text classification, text summarization, topic modeling etc
2) Data scientist with Computer vision for documents experience
  • Additional Skills Compulsory:
    • Knowledge and professional experience of vision and deep learning for documents - CNNs, Deep neural networks using tensorflow for Keras for object detection, OCR implementation, document extraction etc
Read more
Tiger Analytics

at Tiger Analytics

2 recruiters
Muthu Thiagarajan
Posted by Muthu Thiagarajan
Remote, Chennai, Remote, Bengaluru (Bangalore), Hyderabad
8 - 14 yrs
₹20L - ₹40L / yr
Data Science
Machine Learning (ML)
Python
R Programming
Associate Director – Data Science

Tiger Analytics is a global AI & analytics consulting firm. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modeled around expertise and mutual respect with a team first mindset. Working at Tiger, you’ll be at the heart of this AI revolution. You’ll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire.
We are headquartered in the Silicon Valley and have our delivery centres across the globe. The below role is for our Chennai or Bangalore office, or you can choose to work remotely.

About the Role:

As an Associate Director - Data Science at Tiger Analytics, you will lead data science aspects of endto-end client AI & analytics programs. Your role will be a combination of hands-on contribution, technical team management, and client interaction.
• Work closely with internal teams and client stakeholders to design analytical approaches to
solve business problems
• Develop and enhance a broad range of cutting-edge data analytics and machine learning
problems across a variety of industries.
• Work on various aspects of the ML ecosystem – model building, ML pipelines, logging &
versioning, documentation, scaling, deployment, monitoring and maintenance etc.
• Lead a team of data scientists and engineers to embed AI and analytics into the client
business decision processes.

Desired Skills:

• High level of proficiency in a structured programming language, e.g. Python, R.
• Experience designing data science solutions to business problems
• Deep understanding of ML algorithms for common use cases in both structured and
unstructured data ecosystems.
• Comfortable with large scale data processing and distributed computing
• Excellent written and verbal communication skills
• 10+ years exp of which 8 years of relevant data science experience including hands-on
programming.

Designation will be commensurate with expertise/experience. Compensation packages among the best in the industry.
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codeMantra

at codeMantra

3 recruiters
saranya v
Posted by saranya v
Chennai
14 - 18 yrs
₹20L - ₹25L / yr
Machine Learning (ML)
Data Science
R Programming
Python

ML ARCHITECT

 

Job Overview

                         We are looking for a ML Architect to help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. They must have strong experience using variety of data mining and data analysis methods, building and implementing models, using/creating algorithm’s and creating/running simulations.  They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Automating to identify the textual data with their properties and structure form various type of document.

 

Responsibilities

  • Selecting features, building and optimizing classifiers using machine learning techniques
  • Data mining using state-of-the-art methods
  • Enhancing data collection procedures to include information that is relevant for building analytic systems
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Creating automated anomaly detection systems and constant tracking of its performance
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Secure and manage when needed GPU cluster resources for events
  • Write comprehensive internal feedback reports and find opportunities for improvements
  • Manage GPU instances/machines to increase the performance and efficiency of the ML/DL model.

 

Skills and Qualifications

  • Strong Hands-on experience in Python Programming
  • Working experience with Computer Vision models - Object Detection Model, Image Classification
  • Good experience in feature extraction, feature selection techniques and transfer learning
  • Working Experience in building deep learning NLP Models for text classification, image analytics-CNN,RNN,LSTM.
  • Working Experience in any of the AWS/GCP cloud platforms, exposure in fetching data from various sources.
  • Good experience in exploratory data analysis, data visualisation, and other data preprocessing techniques.
  • Knowledge in any one of the DL frameworks like Tensorflow, Pytorch, Keras, Caffe
  • Good knowledge in statistics,distribution of data and in supervised and unsupervised machine learning algorithms.
  • Exposure to OpenCV Familiarity with GPUs + CUDA
  • Experience with NVIDIA software for cluster management and provisioning such as nvsm, dcgm and DeepOps.
  • We are looking for a candidate with 14+ years of experience, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
  • Experience with big data tools: Hadoop, Spark, Kafka, etc.
  • Experience with AWS cloud services: EC2, RDS, AWS-Sagemaker(Added advantage)
  • Experience with object-oriented/object function scripting languages in any: Python, Java, C++, Scala, etc.

 

 

Read more
codeMantra

at codeMantra

3 recruiters
Ranjith PR
Posted by Ranjith PR
Chennai
13.5 - 28 yrs
₹15L - ₹37L / yr
Data Science
Machine Learning (ML)
Deep Learning
OpenCV
Solution architecture
+4 more

GREETINGS FROM CODEMANTRA !!!

 

EXCELLENT OPPORTUNITY FOR DATA SCIENCE/AI AND ML ARCHITECT !!!

 

Skills and Qualifications

 

*Strong Hands-on experience in Python Programming

*** Working experience with Computer Vision models - Object Detection Model, Image Classification

* Good experience in feature extraction, feature selection techniques and transfer learning

* Working Experience in building deep learning NLP Models for text classification, image analytics-CNN,RNN,LSTM.

* Working Experience in any of the AWS/GCP cloud platforms, exposure in fetching data from various sources.

* Good experience in exploratory data analysis, data visualisation, and other data pre-processing techniques.

* Knowledge in any one of the DL frameworks like Tensorflow, Pytorch, Keras, Caffe Good knowledge in statistics, distribution of data and in supervised and unsupervised machine learning algorithms.

* Exposure to OpenCV Familiarity with GPUs + CUDA Experience with NVIDIA software for cluster management and provisioning such as nvsm, dcgm and DeepOps.

* We are looking for a candidate with 9+ years of relevant experience , who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools: *Experience with big data tools: Hadoop, Spark, Kafka, etc.
*Experience with AWS cloud services: EC2, RDS, AWS-Sagemaker(Added advantage)
*Experience with object-oriented/object function scripting languages in any: Python, Java, C++, Scala, etc.

Responsibilities
*Selecting features, building and optimizing classifiers using machine learning techniques
*Data mining using state-of-the-art methods
*Enhancing data collection procedures to include information that is relevant for building analytic systems
*Processing, cleansing, and verifying the integrity of data used for analysis
*Creating automated anomaly detection systems and constant tracking of its performance
*Assemble large, complex data sets that meet functional / non-functional business requirements.
*Secure and manage when needed GPU cluster resources for events
*Write comprehensive internal feedback reports and find opportunities for improvements
*Manage GPU instances/machines to increase the performance and efficiency of the ML/DL model

 

Regards

Ranjith PR
Read more
Kaleidofin

at Kaleidofin

3 recruiters
Pragya Gupta
Posted by Pragya Gupta
Chennai
2 - 7 yrs
₹10L - ₹30L / yr
Data Science
Machine Learning (ML)
Statistical Modeling
R Programming
Python

Key Responsibilities:

  • Partnering with clients and internal business owners (product, marketing, edit, etc.) to understand needs and develop models and products for Kaleidofin business line.
  • Good understanding of the underlying business and workings of cross functional teams for successful execution
  • Design and develop analyses based on business requirement needs and challenges.
  • Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering, factor analysis, multivariate regression, predictive modeling, hyperparameter tuning, ensembling etc.
  • Providing statistical analysis on custom research projects and consult on A/B testing and other statistical analysis as needed. Other reports and custom analysis as required.
  • Identify and use appropriate investigative and analytical technologies to interpret and verify results.
  • Apply and learn a wide variety of tools and languages to achieve results
  • Use best practices to develop statistical and/ or machine learning techniques to build models that address business needs.
  • Collaborate with the team to improve the effectiveness of business decisions using data and machine learning/predictive modeling.
  • Innovate on projects by using new modeling techniques or tools.
  • Utilize effective project planning techniques to break down complex projects into tasks and ensure deadlines are kept.
  • Communicate findings to team and leadership to ensure models are well understood and incorporated into business processes.

 

Skills:

  • 2+ year experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms.
  • Machine Learning Algorithms: Crystal clear understanding, coding, implementation, error analysis, model tuning knowledge on Linear Regression, Logistic Regression, SVM, shallow Neural Networks, clustering, Decision Trees, Random forest, Boosting trees, Recommender Systems, ARIMA and Anomaly Detection. Feature selection, hyper parameters tuning, model selection and error analysis, ensemble methods.
  • Strong with programming languages like Python and data processing using SQL or equivalent and ability to experiment with newer open source tools
  • Experience in normalizing data to ensure it is homogeneous and consistently formatted to enable sorting, query and analysis.
  • Experience designing, developing, implementing and maintaining a database and programs to manage data analysis efforts.
  • Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE)
  • Experience in risk and credit scoring domains preferred
Read more
Opscruise

at Opscruise

2 recruiters
sharmila M
Posted by sharmila M
Remote, Chennai
9 - 25 yrs
₹8L - ₹25L / yr
Data Science
Python
Machine Learning (ML)
DA
Unsupervised learning
+1 more

Responsibilities

  • Research and test novel machine learning approaches for analysing large-scale distributed computing applications.
  • Develop production-ready implementations of proposed solutions across different models AI and ML algorithms, including testing on live customer data to improve accuracy,  efficacy, and robustness
  • Work closely with other functional teams to integrate implemented systems into the SaaS platform
  • Suggest innovative and creative concepts and ideas that would improve the overall platform

Qualifications

The ideal candidate must have the following qualifications:

  • 5 + years experience in practical implementation and deployment of large customer-facing ML based systems.
  • MS or M Tech (preferred) in applied mathematics/statistics;  CS or Engineering disciplines are acceptable but must have with strong quantitative and applied mathematical skills
  • In-depth working, beyond coursework, familiarity with classical and current ML techniques, both supervised and unsupervised learning techniques and algorithms
  • Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimization
  • Experience in working on modeling graph structures related to spatiotemporal systems
  • Programming skills in Python is a must
  • Experience in developing and deploying on cloud (AWS or Google or Azure)
  • Good verbal and written communication skills
  • Familiarity with well-known ML frameworks such as Pandas, Keras, TensorFlow

 

Most importantly, you should be someone who is passionate about building new and innovative products that solve tough real-world problems.

Location

Chennai, India

Read more
LatentView Analytics

at LatentView Analytics

3 recruiters
Kannikanti madhuri
Posted by Kannikanti madhuri
Chennai
5 - 8 yrs
₹5L - ₹8L / yr
Data Science
Analytics
Data Analytics
Data modeling
Data mining
+7 more
Job Overview :We are looking for an experienced Data Science professional to join our Product team and lead the data analytics team and manage the processes and people responsible for accurate data collection, processing, modelling and analysis. The ideal candidate has a knack for seeing solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities for our clients. The incumbent will work closely with leaders across product, sales, and marketing to support and implement high-quality, data-driven decisions. They will ensure data accuracy and consistent reporting by designing and creating optimal processes and procedures for analytics employees to follow. They will use advanced data modelling, predictive modelling, natural language processing and analytical techniques to interpret key findings.Responsibilities for Analytics Manager :- Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.- Design and build technical processes to address business issues.- Manage and optimize processes for data intake, validation, mining and engineering as well as modelling, visualization and communication deliverables.- Examine, interpret and report results to stakeholders in leadership, technology, sales, marketing and product teams.- Develop and implement quality controls and standards to ensure quality standards- Anticipate future demands of initiatives related to people, technology, budget and business within your department and design/implement solutions to meet these needs.- Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company.- Lead cross-functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.Qualifications for Analytics Manager :- Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple cloud-based data sources- Strong SQL skills, ability to perform effective querying- Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analysing data, drawing conclusions, and developing actionable recommendations for business units.- Experience and knowledge of statistical modelling techniques: GLM multiple regression, logistic regression, log-linear regression, variable selection, etc.- Experience working with and creating databases and dashboards using all relevant data to inform decisions.- Strong problem solving, quantitative and analytical abilities.- Strong ability to plan and manage numerous processes, people and projects simultaneously.- Excellent communication, collaboration and delegation skills.- We- re looking for someone with at least 5 years of experience in a position monitoring, managing and drawing insights from data, and someone with at least 3 years of experience leading a team. The right candidate will also be proficient and experienced with the following tools/programs :- Strong programming skills with querying languages: R, Python etc.- Experience with big data tools like Hadoop- Experience with data visualization tools: Tableau, d3.js, etc.- Experience with Excel, Word, and PowerPoint.
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TVS Credit Services

at TVS Credit Services

2 recruiters
Vinodhkumar Panneerselvam
Posted by Vinodhkumar Panneerselvam
Chennai
4 - 10 yrs
₹10L - ₹20L / yr
Data Science
R Programming
Python
Machine Learning (ML)
Hadoop
+3 more
Job Description: Be responsible for scaling our analytics capability across all internal disciplines and guide our strategic direction in regards to analytics Organize and analyze large, diverse data sets across multiple platforms Identify key insights and leverage them to inform and influence product strategy Technical Interactions with vendor or partners in technical capacity for scope/ approach & deliverables. Develops proof of concept to prove or disprove validity of concept. Working with all parts of the business to identify analytical requirements and formalize an approach for reliable, relevant, accurate, efficientreporting on those requirements Designing and implementing advanced statistical testing for customized problem solving Deliver concise verbal and written explanations of analyses to senior management that elevate findings into strategic recommendations Desired Candidate Profile: MTech / BE / BTech / MSc in CS or Stats or Maths, Operation Research, Statistics, Econometrics or in any quantitative field Experience in using Python, R, SAS Experience in working with large data sets and big data systems (SQL, Hadoop, Hive, etc.) Keen aptitude for large-scale data analysis with a passion for identifying key insights from data Expert working knowledge in various machine learning algorithms such XGBoost, SVM Etc. We are looking candidates from the following: Experience in Unsecured Loans & SME Loans analytics (cards, installment loans) - risk based pricing analytics Experience in Differential pricing / selection analytics (retail, airlines / travel etc). Experience in Digital product companies or Digital eCommerce with Product mindset and experience Experience in Fraud / Risk from Banks, NBFC / Fintech / Credit Bureau Experience in Online media with knowledge of media, online ads & sales (agencies) - Knowledge of DMP, DFP, Adobe/Omniture tools, Cloud Experience in Consumer Durable Loans lending companies (Experience in Credit Cards, Personal Loan - optional) Experience in Tractor Loans lending companies (Experience in Farm) Experience in Recovery, Collections analytics Experience in Marketing Analytics with Digital Marketing, Market Mix modelling, Advertising Technology
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Indix

at Indix

1 recruiter
Sri Devi
Posted by Sri Devi
Chennai, Hyderabad
3 - 7 yrs
₹15L - ₹45L / yr
Data Science
Python
Algorithms
Data Structures
Scikit-Learn
+3 more
Software Engineer – ML at Indix provides an opportunity to design and build systems that crunch large amounts of data everyday What We’re Looking For- 3+ years of experience Ability to propose hypothesis and design experiments in the context of specific problems. Should come from a strong engineering background Good overlap with Indix Data tech stack such as Hadoop, MapReduce, HDFS, Spark, Scalding, Scala/Python/C++ Dedication and diligence in understanding the application domain, collecting/cleaning data and conducting experiments. Creativity in model and algorithm development. An obsession to develop algorithms/models that directly impact business. Master’s/Phd. in Computer Science/Statistics is a plus Job Expectations Experience working in text mining and python libraries like scikit-learn, numpy, etc Collect relevant data from production systems/Use crawling and parsing infrastructure to put together data sets. Survey academic literature and identify potential approaches for exploration. Craft, conduct and analyze experiments to evaluate models/algorithms. Communicate findings and take algorithms/models to production with end to end ownership.
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Monexo Fintech

at Monexo Fintech

1 video
5 recruiters
Mukesh Bubna
Posted by Mukesh Bubna
Mumbai, Chennai
1 - 3 yrs
₹3L - ₹5L / yr
Data Science
Python
R Programming
The Candidate should be have: - good understanding of Statistical concepts - worked on Data Analysis and Model building for 1 year - ability to implement Data warehouse and Visualisation tools (IBM, Amazon or Tableau) - use of ETL tools - understanding of scoring models The candidate will be required: - to build models for approval or rejection of loans - build various reports (standard for monthly reporting) to optimise business - implement datawarehosue The candidate should be self-starter as well as work without supervision. You will be the 1st and only employee for this role for the next 6 months.
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